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{ "item_title" : "Statistical Methods for Dynamic Treatment Regimes", "item_author" : [" Bibhas Chakraborty", "Erica E. M. Moodie "], "item_description" : "Introduction.- The Data: Observational Studies and Sequentially Randomized Trials.- Statistical Reinforcement Learning.- Estimation of Optimal DTRs by Modeling Contrasts of Conditional Mean Outcomes.- Estimation of Optimal DTRs by Directly Modeling Regimes.- G-computation: Parametric Estimation of Optimal DTRs.- Estimation DTRs for Alternative Outcome Types.- Inference and Non-regularity.- Additional Considerations and Final Thoughts.- Glossary.- Index.- References.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/48/999/030/1489990305_b.jpg", "price_data" : { "retail_price" : "89.99", "online_price" : "89.99", "our_price" : "89.99", "club_price" : "89.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Statistical Methods for Dynamic Treatment Regimes|Bibhas Chakraborty

Statistical Methods for Dynamic Treatment Regimes : Reinforcement Learning, Causal Inference, and Personalized Medicine

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Overview

Introduction.- The Data: Observational Studies and Sequentially Randomized Trials.- Statistical Reinforcement Learning.- Estimation of Optimal DTRs by Modeling Contrasts of Conditional Mean Outcomes.- Estimation of Optimal DTRs by Directly Modeling Regimes.- G-computation: Parametric Estimation of Optimal DTRs.- Estimation DTRs for Alternative Outcome Types.- Inference and Non-regularity.- Additional Considerations and Final Thoughts.- Glossary.- Index.- References.

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Details

  • ISBN-13: 9781489990303
  • ISBN-10: 1489990305
  • Publisher: Springer
  • Publish Date: February 2015
  • Dimensions: 9.21 x 6.14 x 0.47 inches
  • Shipping Weight: 0.7 pounds
  • Page Count: 204

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